Abstract:  China will fully integrate climate change into the overall strategy of national economic and social development, take active measures to effectively control greenhouse gas emissions from the  key industrial sectors, and promote green and low-carbon development in urban and rural construction. Green has become a bright background for high-quality economic development. While the economy and society continue to develop healthily, the intensity of carbon emissions has decreased significantly.In order to achieve atmospheric environmental quality compliance and low-carbon transition development, it is of great significance for cities to carry out collaborative study on pollution and carbon reduction. This study takes Weinan City as a case, which is located in the Fenwei Plain, one of national key regions for air pollution prevention and control. Based on the social and economic development status of Weinan and the characteristics of energy supply and demand structure, the paper uses the LMDI decomposition method to quantitatively evaluate the relationship between energy consumption and economic growth in Weinan, and the contribution of various influencing factors to energy consumption. Then using the LEAP model to construct multiple scenarios in order to analysis the impact of policies such as pollution reduction, energy structure improvement, and industrial structure adjustment on Weinan future energy consumption and potential air pollutant reduction. The results show that, the improvement of energy structure, the optimization of industrial structure, and the adjustment of transportation have a significant effect on synergistic emission reduction of pollutants and greenhouse gases. But the potential of traditional environmental governance policies is diminishing, such as the reduction of backward production capacity, the transformation of industrial furnaces, and the upgrading of industrial pollutant emission standards. Therefore, it is necessary to promote the optimization and upgrading of the industrial structure, focus on improving the energy structure, and accelerate the optimization of the transportation structure.